Sciweavers

40 search results - page 2 / 8
» Accurate Waveform Modeling using Singular Value Decompositio...
Sort
View
ICMCS
2005
IEEE
172views Multimedia» more  ICMCS 2005»
13 years 11 months ago
A Study of Synthesizing New Human Motions from Sampled Motions Using Tensor Decomposition
This paper applies an algorithm, based on Tensor Decomposition, to a new synthesis application: by using sampled motions of people of different ages under different emotional stat...
Rovshan Kalanov, Jieun Cho, Jun Ohya
DAC
2006
ACM
14 years 6 months ago
Statistical logic cell delay analysis using a current-based model
A statistical model for the purpose of logic cell timing analysis in the presence of process variations is presented. A new current-based cell delay model is utilized, which can a...
Hanif Fatemi, Shahin Nazarian, Massoud Pedram
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
13 years 7 months ago
MACH: Fast Randomized Tensor Decompositions
Tensors naturally model many real world processes which generate multi-aspect data. Such processes appear in many different research disciplines, e.g, chemometrics, computer visio...
Charalampos E. Tsourakakis
BMCBI
2010
118views more  BMCBI 2010»
13 years 5 months ago
svdPPCS: an effective singular value decomposition-based method for conserved and divergent co-expression gene module identifica
Background: Comparative analysis of gene expression profiling of multiple biological categories, such as different species of organisms or different kinds of tissue, promises to e...
Wensheng Zhang, Andrea Edwards, Wei Fan, Dongxiao ...
CORR
2008
Springer
107views Education» more  CORR 2008»
13 years 5 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang